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Python Institute PCED-30-02 Exam Syllabus Topics:

Python Institute PCED - Certified Entry-Level Data Analyst with Python Sample Questions:

Question 1

Which task is traditionally or typically performed by a data analyst, and not by a data scientist or analytics specialist? Select the best answer.

A. Designing a data pipeline to ingest and process real-time sensor data.
B. Recommending pricing strategies using predictive modeling and A/B testing.
C. Creating summary tables and charts to describe patterns in historical data.
D. Developing machine learning algorithms to predict user behavior.

Question 2

You are given two lists representing daily page views and sign-ups on a website:
views = [120, 130, 128, 700, 115, 123, 119, 680, 122]
signups = [12, 15, 13, 50, 11, 14, 10, 55, 13]
You want to:
- remove outliers (views > 600), and
- calculate correlation between the cleaned lists.
Which code accomplishes this correctly? Select the best answer.

A.

B.

C.

D.

Question 3

A financial technology company is reviewing its data practices to ensure legal and ethical compliance.
Which of the following actions would support responsible data handling and align with regulations like GDPR, HIPAA, and CCPA? (Choose two.)

A. Providing users with a clear explanation of how their data is used and obtaining explicit consent.
B. Automatically opting users into data sharing unless they manually change settings.
C. Limiting data access only to marketing staff to streamline personalization.
D. Retaining user data permanently unless users explicitly request deletion.
E. Implementing encryption for both stored and transmitted customer data.

Question 4

How do the analysis and visualization stages of the data lifecycle typically work together?

A. Analysis produces charts and graphs, while visualization interprets the data to detect outliers.
B. Analysis identifies patterns and insights in processed data, which are then communicated through visualizations for informed decision-making.
C. Analysis retrieves raw inputs from dashboards, while visualization uses that input to clean the data.
D. Analysis summarizes archived data, and visualization transforms it into structured tables for storage.

Question 5

A government agency collects citizen data for various public services.
What is the primary reason for emphasizing careful data management throughout the entire data lifecycle in this context? Select the best answer.

A. To guarantee the long-term availability and integrity of crucial citizen datasets for future policy formulation and evaluation.
B. To enable seamless sharing of anonymized citizen information with other governmental bodies for collaborative initiatives.
C. To streamline the initial capture of citizen details and minimize the administrative burden on both staff and the public.
D. To uphold data quality for effective service delivery, safeguard citizen privacy and prevent misuse, and comply with data protection laws.

Solutions: